Abstract | ||
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Constant modulus (CM) based algorithms for blind channel equalization are well known for their effectiveness and simplicity. Recently, new CM-based equalization algorithms with improved performance have been proposed. In this paper, a new blind adaptive CM equalization algorithm using a quasi-Newton optimization method is proposed. Simulation results are presented which demonstrate that the proposed algorithm leads to an improved convergence rate as well as reduced computational complexity relative to those of some existing algorithms. |
Year | DOI | Venue |
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2004 | 10.1109/ISCAS.2004.1329448 | 2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 5, PROCEEDINGS |
Keywords | Field | DocType |
convergence,channel equalization,computational modeling,channel capacity,intersymbol interference,adaptive equalizer,computational complexity,awgn | Convergence (routing),Intersymbol interference,Equalization (audio),Computer science,Control theory,Algorithm,Adaptive equalizer,Electronic engineering,Rate of convergence,Additive white Gaussian noise,Channel capacity,Computational complexity theory | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yajun Kou | 1 | 39 | 3.00 |
Wu-Sheng Lu | 2 | 296 | 24.90 |
Andreas Antoniou | 3 | 101 | 14.77 |